City Dynamics
www.cidy.aiWe build tools that discover social commonalities among people in the city, as well as track and predict events that have a strong correlation with an urban environment in terms of space and time. With a mission of improving the quality of life in the Arab region through understanding the dynamics of its cities. #Design efficient last-mile logistics and delivery networks: Optimize last-mile deliveries by designing a fit-for-purpose fulfillment network. This network should mirror people's mobility patterns to provide efficient delivery operations. #Re-Imagine the city in the age of social media: Conceptualize the dynamics, structure, and character of a city by analyzing the social media data. Mapping people's behavior patterns across the city tell different stories of the people and places that shape it. #Predict public transportation demand using location data: Help the providers of public transportation services (e.g., taxi, public bus, etc.) know when and where they can pick up more passengers, and tell passengers how to ride more quickly. #Direct and indirect prediction of city events: The prediction of urban dynamics as traffic occurrences and crowd displacement and the happening of mass events (e.g., concerts, fairs, sports events, etc.).
Read moreWe build tools that discover social commonalities among people in the city, as well as track and predict events that have a strong correlation with an urban environment in terms of space and time. With a mission of improving the quality of life in the Arab region through understanding the dynamics of its cities. #Design efficient last-mile logistics and delivery networks: Optimize last-mile deliveries by designing a fit-for-purpose fulfillment network. This network should mirror people's mobility patterns to provide efficient delivery operations. #Re-Imagine the city in the age of social media: Conceptualize the dynamics, structure, and character of a city by analyzing the social media data. Mapping people's behavior patterns across the city tell different stories of the people and places that shape it. #Predict public transportation demand using location data: Help the providers of public transportation services (e.g., taxi, public bus, etc.) know when and where they can pick up more passengers, and tell passengers how to ride more quickly. #Direct and indirect prediction of city events: The prediction of urban dynamics as traffic occurrences and crowd displacement and the happening of mass events (e.g., concerts, fairs, sports events, etc.).
Read moreCountry
City (Headquarters)
Amman
Industry
Employees
1-10
Founded
2019
Social
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